{"as_of":"2026-08-13T18:30:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:bc0f96ae697b2c8fca6ae79db63a1e9c603317ca6815e63563916c848df8b717","coverage":[{"denominator":5,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T13:57:16.447867Z","state":"measured"},{"denominator":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2502.07072/citation-record","integrity":"/paper/2502.07072/integrity","json":"/paper/2502.07072/citation-record.json","paper":"/paper/2502.07072"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T13:57:16.529056Z","title":"Retrieved August 31, 2024 from https://pytorch.org/docs/stable/cuda.html Adam Casson","venue":null,"work_id":"b7da444b-08a7-4f86-9028-5eec158bf917","year":2023},"citing_paper":{"arxiv_id":"2502.07072","last_updated":"2025-03-11T17:08:05Z","snapshot_observed_at":"2026-08-13T12:55:19.532201Z","submitted_at":"2025-02-10T22:07:02Z","title":"IRepair: An Intent-Aware Approach to Repair Data-Driven Errors in Large Language Models","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-08T13:57:16.431722Z"},"links":{"citing_paper":"/paper/2502.07072"},"observation_digest":"sha256:3e7821cae32a7ea68b9a9d335312162d978c625eb24017562095e4e713890b4e","observation_id":"8451abaf-c481-446e-aa1d-adbd793abfb3","resolution":{"observed_at":"2026-08-08T13:57:16.536393Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.04492","last_updated":"2023-06-02T04:13:08Z","snapshot_observed_at":"2026-08-13T14:09:27.674752Z","submitted_at":"2022-10-10T08:45:25Z","title":"Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.04492","snapshot_observed_at":"2026-08-08T13:57:16.447867Z","title":"doi:10.18653/v1/2023.findings-emnlp.167 Yueqi Xie, Jingwei Yi, Jiawei Shao, Justin Curl, Lingjuan Lyu, Qifeng Chen, Xing Xie, and Fangzhao Wu","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.07072","last_updated":"2025-03-11T17:08:05Z","snapshot_observed_at":"2026-08-13T12:55:19.532201Z","submitted_at":"2025-02-10T22:07:02Z","title":"IRepair: An Intent-Aware Approach to Repair Data-Driven Errors in Large Language Models","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-08T13:57:16.447867Z"},"links":{"cited_paper":"/paper/2210.04492","citing_paper":"/paper/2502.07072"},"observation_digest":"sha256:9d8663478e4245778c519badf86d9f2a5928c6a3559ef8ccb980bb5c15b7cede","observation_id":"09dcf76a-932b-4c9d-a411-60632ae7028b","resolution":{"observed_at":"2026-08-08T13:57:16.447867Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2203.06904","last_updated":"2022-03-15T01:22:04Z","snapshot_observed_at":"2026-08-13T16:23:54.842884Z","submitted_at":"2022-03-14T07:56:32Z","title":"Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.06904","snapshot_observed_at":"2026-08-08T13:57:16.436527Z","title":"In International Conference on Learning Representations","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.07072","last_updated":"2025-03-11T17:08:05Z","snapshot_observed_at":"2026-08-13T12:55:19.532201Z","submitted_at":"2025-02-10T22:07:02Z","title":"IRepair: An Intent-Aware Approach to Repair Data-Driven Errors in Large Language Models","version":3},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-08T13:57:16.436527Z"},"links":{"cited_paper":"/paper/2203.06904","citing_paper":"/paper/2502.07072"},"observation_digest":"sha256:903f43afd2aa3e6abbda4ed21fb267db3e67a2ff51ce0cc43f5af89f35712df9","observation_id":"d13b770b-0a2d-47ca-9ada-77c6ee0c4afe","resolution":{"observed_at":"2026-08-08T13:57:16.436527Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2001.08361","last_updated":"2020-01-23T03:59:20Z","snapshot_observed_at":"2026-08-13T17:41:53.092611Z","submitted_at":"2020-01-23T03:59:20Z","title":"Scaling Laws for Neural Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2001.08361","snapshot_observed_at":"2026-08-08T13:57:16.442156Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.07072","last_updated":"2025-03-11T17:08:05Z","snapshot_observed_at":"2026-08-13T12:55:19.532201Z","submitted_at":"2025-02-10T22:07:02Z","title":"IRepair: An Intent-Aware Approach to Repair Data-Driven Errors in Large Language Models","version":3},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-08T13:57:16.442156Z"},"links":{"cited_paper":"/paper/2001.08361","citing_paper":"/paper/2502.07072"},"observation_digest":"sha256:c898687d931a56f26647812b7fa6435798dfe69891f82f698c107a46c18295ca","observation_id":"329ad9e4-47e6-492b-b858-4dcfbee449a8","resolution":{"observed_at":"2026-08-08T13:57:16.442156Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T13:57:16.548152Z","title":"Retrieved August 31, 2024 from https://perspectiveapi.com/","venue":null,"work_id":"8ed69786-b362-458d-ae87-d56d0990b6af","year":2024},"citing_paper":{"arxiv_id":"2502.07072","last_updated":"2025-03-11T17:08:05Z","snapshot_observed_at":"2026-08-13T12:55:19.532201Z","submitted_at":"2025-02-10T22:07:02Z","title":"IRepair: An Intent-Aware Approach to Repair Data-Driven Errors in Large Language Models","version":3},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-08T13:57:16.426549Z"},"links":{"citing_paper":"/paper/2502.07072"},"observation_digest":"sha256:f551519a50736d6a80fc1b7d242bb601add057b340f951c237187fdb6492872a","observation_id":"265773ec-9f98-4f49-bd95-07637f0a398e","resolution":{"observed_at":"2026-08-08T13:57:16.553502Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2502.07072","last_updated":"2025-03-11T17:08:05Z","latest_version":3,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-13T12:55:19.532201Z","submitted_at":"2025-02-10T22:07:02Z","title":"IRepair: An Intent-Aware Approach to Repair Data-Driven Errors in Large Language Models"},"reference_resolution":{"displayed":5,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":3,"verified_exact":0,"verified_fuzzy":2},"total_outbound_references":5},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 5 of 5 outbound references and 0 inbound Pith citation observations for arXiv:2502.07072."}